194 citations · 220 across the 3 of their papers we have counts for
5 papers
Network-based multivariate gene-set testing
Nicolas Städler, Sach Mukherjee
The identification of predefined groups of genes ("gene-sets") which are differentially expressed between two conditions ("gene-set analysis", or GSA) is a very popular analysis in…
Penalized estimation in high-dimensional hidden Markov models with state-specific graphical models
Nicolas Städler, Sach Mukherjee
We consider penalized estimation in hidden Markov models (HMMs) with multivariate Normal observations. In the moderate-to-large dimensional setting, estimation for HMMs remains cha…
L1-Penalization for Mixture Regression Models
Nicolas Städler, Peter Bühlmann, Sara van de Geer
We consider a finite mixture of regressions (FMR) model for high-dimensional inhomogeneous data where the number of covariates may be much larger than sample size. We propose an l1…
Pattern Alternating Maximization Algorithm for Missing Data in Large P, Small N Problems
Nicolas Städler, Daniel J. Stekhoven, Peter Bühlmann
We propose a new and computationally efficient algorithm for maximizing the observed log-likelihood for a multivariate normal data matrix with missing values. We show that our proc…
Missing values: sparse inverse covariance estimation and an extension to sparse regression
Nicolas Städler, Peter Bühlmann
We propose an l1-regularized likelihood method for estimating the inverse covariance matrix in the high-dimensional multivariate normal model in presence of missing data. Our metho…